Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

This comprehensive collection includes proceedings from key workshops focusing on biomedical data annotation and hardware-aware learning in medical imaging. Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention provides valuable insights and methodologies.

This book serves as the refereed joint proceedings of several significant workshops held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention (MICCAI 2019) in Shenzhen, China, in October 2019. It encompasses the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019), the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019). The workshops focused on innovative methodologies and advancements in medical imaging and data annotation.

The proceedings include eight papers from LABELS 2019, five from HAL-MICCAI 2019, and three from CuRIOUS 2019, all of which were rigorously reviewed and selected from a pool of numerous submissions. The contributions from LABELS explore diverse approaches to tackle the challenges posed by limited labels, employing techniques ranging from semi-supervised learning to crowdsourcing. HAL-MICCAI papers highlight various hardware applications addressing medical issues, encompassing topics such as medical image segmentation and pneumonia detection.

Additionally, the CuRIOUS papers provide valuable insights into the current state of research in the field, featuring extended discussions that allow researchers to evaluate their image registration methods using newly established standardized datasets related to intra-operative ultrasound-guided brain tumor resection. Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention is an essential resource for professionals and researchers in medical imaging and data annotation fields.